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       Pubudu N. Pathirana

       Saiyi Li

       Yee Siong Lee

       Trieu Pham

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

      The right of Pubudu N. Pathirana, Saiyi Li, Yee Siong Lee and Trieu Pham to be identified as the authors of this work has been asserted in accordance with law.

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       Library of Congress Cataloging‐in‐Publication Data

      Names: Pathirana, Pubudu N., author. | Li, Saiyi, author. | Lee, Yee Siong, author. | Pham, Trieu, author.

      Title: Human motion capture and identification for assistive systems design in rehabilitation / Pubudu N. Pathirana, Saiyi Li, Yee Siong Lee, Trieu Pham.

      Description: Hoboken, NJ : Wiley, 2021. | Includes bibliographical references and index.

      Identifiers: LCCN 2020043708 (print) | LCCN 2020043709 (ebook) | ISBN 9781119515074 (cloth) | ISBN 9781119515234 (adobe pdf) | ISBN 9781119515210 (epub)

      Subjects: LCSH: Rehabilitation technology. | Musculoskeletal system–Wounds and injuries–Treatment. | Neuromuscular diseases–Treatment. | Medical rehabilitation. | Telecommunication in medicine. | Human locomotion–Measurement. | Human locomotion–Computer simulation.

      Classification: LCC RM950 .P38 2021 (print) | LCC RM950 (ebook) | DDC 617/.03–dc23

      LC record available at https://lccn.loc.gov/2020043708

      LC ebook record available at https://lccn.loc.gov/2020043709

      Cover Design: Wiley

      Cover Image: © Westend61/Getty Images

      1

      1.1 Human Body – Kinematic Perspective

      The muscular system

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